Magnetic resonance imaging-based volumetry differentiates progressive supranuclear palsy from corticobasal degeneration
Abstract
Because there are no biological markers for the clinical diagnosis of progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD), we established a mathematical model based on three-dimensional magnetic resonance (MR) imaging to differentiate between these parkinsonian disorders. Using MR imaging-based volumetry we studied the pattern of atrophic changes in patients with probable, possible or definite PSP (n = 33) or CBD (n = 18). Patients were compared with 22 controls with similar age. To establish a mathematical model that would allow for differentiation of PSP, CBD and controls we performed a discriminant analysis. We found a significant reduction in average brain, brainstem, midbrain and frontal gray matter volumes in patients with PSP, whereas patients with CBD showed atrophy of parietal cortex and corpus callosum. With the exception of reduced midbrain volumes in PSP, the measured volumes of anatomical structures showed an extensive overlap with the normal range on an individual basis. Using only post mortem confirmed cases of PSP (n = 8) and CBD (n = 7) as well as all controls, the volumes of midbrain, parietal white matter, temporal gray matter, brainstem, frontal white matter and pons were identified to separate best between groups and were used to construct a model with two canonical variables. This model allowed to correctly predict the diagnosis in 95% of controls as well as in 76% of all PSP and 83% of all CBD patients. Similar results were obtained…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The occurrence of NFTs correlates well with spatial patterns of neuronal loss and is related to the degree of cognitive deficits.
“The occurrence of NFTs correlates well with spatial patterns of neuronal loss and is related to the degree of cognitive deficits [3,4].”
From Diffusion tensor imaging reveals whole-brain microstructural changes in the P301L mouse model of tauopathy. (2020) · cites this paper as [4]
Cites
The Neuropsychiatric Inventory: Comprehensive assessment of psychopathology in dementia
Cummings, J. L., Mega, M., Gray, K., Rosenberg-Thompson, S., Carusi, D. A., & Gornbein, J. (1994) · Neurology · doi:10.1212/wnl.44.12.2308 · Cited by 7,568 · see citing works
Lee, V. M.-Y., Goedert, M., & Trojanowski, J. Q. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.1121 · Cited by 2,480 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Clinicopathological correlations in corticobasal degeneration
Lee, S. E., Rabinovici, G. D., Mayo, M. C., Wilson, S. M., Seeley, W. W., DeArmond, S. J., Huang, E. J., Trojanowski, J. Q., Growdon, M. E., Jang, J. Y., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22424 · Cited by 434 · see citing works
Schofield, E. C., Hodges, J. R., Macdonald, V., Cordato, N. J., Kril, J. J., & Halliday, G. M. (2011) · Movement Disorders · doi:10.1002/mds.23295 · Cited by 48 · see citing works
Massalimova, A., Ni, R., Nitsch, R. M., Reisert, M., von Elverfeldt, D., & Klohs, J. (2020) · Neurodegenerative Diseases · doi:10.1159/000515754 · Cited by 28 · see citing works
- Authors
- Gröschel, K., Hauser, T.-K., Luft, A., Patronas, N., Dichgans, J., Litvan, I., & Schulz, J. B.
- Affiliations
- Hertie Institute for Clinical Brain Research (DE)
- National Institutes of Health (US)
- University of Louisville (US)
- Corresponding author
- Schulz, Jörg B
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2004-02
- Volume
- 21
- Issue
- 2
- Pages
- 714-724
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2117462573
- Cited by
- 125
- References
- 2
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 5 · 2022: 7 · 2021: 1 · 2020: 5 · 2019: 2 · 2018: 4 · 2017: 8 · 2016: 8 · 2015: 4 · 2014: 4 · 2013: 7 · 2012: 10
- FWCI
- 4.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- NIH Clinical Center
- Topics
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Keywords
- progressive supranuclear palsy, corticobasal degeneration, brain atrophy patterns, differential diagnosis, parkinsonism, brainstem atrophy, corpus callosum atrophy, discriminant analysis, antemortem diagnosis
- MeSH terms
- Aged, Astrocytes, Atrophy, Basal Ganglia, Brain, Brain Stem, Cerebellum, Cerebral Cortex, Diagnosis, Differential, Dominance, Cerebral, Female, Humans, Image Enhancement, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Mathematical Computing, Middle Aged, Neural Pathways, Neurologic Examination, Neurons, Sensitivity and Specificity, Software, Supranuclear Palsy, Progressive, Heredodegenerative Disorders, Nervous System, Parkinsonian Disorders
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review